Introduction to NumPy
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!
Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Master data modeling in Power BI.
Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.
Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.
Learn to retrieve and parse information from the internet using the Python library scrapy.
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
Discover the world of Amazon Web Services (AWS) and understand why it's at the forefront of cloud computing.
Learn how to clean and prepare your data for machine learning!
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
This introductory course will help you hone the skills to build effective, performant, and reliable data pipelines.
Learn how to implement and schedule data engineering workflows.
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
Learn to start developing deep learning models with Keras.
In this course you'll learn the basics of working with time series data.
Enhance your reports with Power BI's Exploratory Data Analysis (EDA). Learn what EDA is for Power BI and how it can help you extract insights from your data.
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
Learn the fundamentals of working with big data with PySpark.
Discover modern data architecture's key components, from ingestion and serving to governance and orchestration.
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.
Learn how to manipulate and visualize categorical data using pandas and seaborn.
In this course you will learn the basics of machine learning for classification.